Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum natural gradient with geodesic corrections for small shallow quantum circuits
Mourad Halla·Sep 5, 2024
The Quantum Natural Gradient (QNG) method enhances optimization in variational quantum algorithms (VQAs) by incorporating geometric insights from the quantum state space through the Fubini-Study metric. In this work, we extend QNG by introducing high...
Predicting quantum channels over general product distributions
Sitan Chen, Jaume de Dios Pont, Jun-Ting Hsieh +3 more·Sep 5, 2024
We investigate the problem of predicting the output behavior of unknown quantum channels. Given query access to an $n$-qubit channel $E$ and an observable $O$, we aim to learn the mapping \begin{equation*} \rho \mapsto \mathrm{Tr}(O E[\rho]) \end{equ...
Enhancing the performance of variational quantum classifiers with hybrid autoencoders
Georgios Maragkopoulos, Aikaterini Mandilara, Antonia Tsili +1 more·Sep 5, 2024
Variational quantum circuits (VQC) lie at the forefront of quantum machine learning research. Still, the use of quantum networks for real data processing remains challenging as the number of available qubits cannot accommodate a large dimensionality ...
DasAtom: A Divide-and-Shuttle Atom Approach to Quantum Circuit Transformation
Yunqi Huang, Dingchao Gao, Shenggang Ying +1 more·Sep 5, 2024
neutral atom (NA) quantum systems are emerging as a leading platform for quantum computation, offering superior or competitive qubit count and gate fidelity compared to superconducting circuits and ion traps. However, the unique features of NA device...
On-chip high-dimensional entangled photon sources
Tavshabad Kaur, Daniel Peace, Jacquiline Romero·Sep 5, 2024
High-dimensional quantum entanglement is an important resource for emerging quantum technologies such as quantum communication and quantum computation. The scalability of metres-long experimental setups limits high-dimensional entanglement in bulk op...
Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields
Eleanor Crane, Kevin C. Smith, T. Tomesh +9 more·Sep 5, 2024
We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encountered in qubit hardware. This framework gives exact decompositions of par...
Splitting and connecting singlets in atomic quantum circuits
Zijie Zhu, Yann Kiefer, Samuel Jele +4 more·Sep 4, 2024
Gate operations composed in quantum circuits form the basis for digital quantum simulation and quantum processing. While two-qubit gates generally operate on nearest neighbours, many circuits require nonlocal connectivity and necessitate some form of...
Federated Quantum-Train with Batched Parameter Generation
Chen-Yu Liu, Samuel Yen-Chi Chen·Sep 4, 2024
In this work, we introduce the Federated Quantum-Train (QT) framework, which integrates the QT model into federated learning to leverage quantum computing for distributed learning systems. Quantum client nodes employ Quantum Neural Networks (QNNs) an...
Tomography-assisted noisy quantum circuit simulator using matrix product density operators
Wei Ma, Yun-hao Shi, Kai Xu +1 more·Sep 4, 2024
In recent years, efficient quantum circuit simulations incorporating ideal noise assumptions have relied on tensor network simulators, particularly leveraging the matrix product density operator (MPDO) framework. However, experiments on real noisy in...
QHDOPT: A Software for Nonlinear Optimization with Quantum Hamiltonian Descent
Samuel Kushnir, J. Leng, Yuxiang Peng +2 more·Sep 4, 2024
We develop an open-source, end-to-end software (named QHDOPT), which can solve nonlinear optimization problems using the quantum Hamiltonian descent (QHD) algorithm. QHDOPT offers an accessible interface and automatically maps tasks to various suppor...
Towards violations of Local Friendliness with quantum computers
William J. Zeng, Farrokh Labib, Vincent Russo·Sep 4, 2024
Local Friendliness (LF) inequalities follow from seemingly reasonable assumptions about reality: (i) “absoluteness of observed events'' (e.g., every observed event happens for all observers) and (ii) “local agency'' (e.g., free choices can be made un...
Distributed Quantum Computation via Entanglement Forging and Teleportation
Tian-Ren Jin, Kai Xu, Heng Fan·Sep 4, 2024
Distributed quantum computation is a practical method for large-scale quantum computation on quantum processors with limited size. It can be realized by direct quantum channels in flying qubits. Moreover, the pre-established quantum entanglements can...
Progress in Trapped-Ion Quantum Simulation
M. Foss-Feig, G. Pagano, Andrew C. Potter +1 more·Sep 4, 2024
Trapped ions offer long coherence times and high fidelity, programmable quantum operations, making them a promising platform for quantum simulation of condensed matter systems, quantum dynamics, and problems related to high-energy physics. We review ...
The exact lower bound of CNOT-complexity for fault-tolerant quantum Fourier transform
Qiqing Xia, Huiqin Xie, Li Yang·Sep 4, 2024
The quantum Fourier transform (QFT) is a crucial subroutine in many quantum algorithms. In this paper, we study the exact lower bound problem of CNOT gate complexity for fault-tolerant QFT. First, we consider approximating the ancilla-free controlled...
Quantum transport on Bethe lattices with non-Hermitian sources and a drain
Naomichi Hatano, Hosho Katsura, Kohei Kawabata·Sep 3, 2024
We consider quantum transport in a tight-binding model on the Bethe lattice of finite generation, which we expect to be the first step toward analyzing electronic transport in a light-harvesting molecule. We seek conditions under which the electronic...
Learning out-of-time-ordered correlators with classical kernel methods
John Tanner, J. Pye, Jingbo B. Wang·Sep 3, 2024
Out-of-Time Ordered Correlators (OTOCs) are widely used to investigate information scrambling in quantum systems. However, directly computing OTOCs with classical computers is an expensive procedure. This is due to the need to classically simulate th...
Estimating the coherence of noise in mid-scale quantum systems
Pedro Figueroa–Romero, M. Papivc, Adrian Auer +1 more·Sep 3, 2024
While the power of quantum computers is commonly acknowledged to rise exponentially, it is often overlooked that the complexity of quantum noise mechanisms generally grows much faster. In particular, quantifying whether the instructions on a quantum ...
Effective Distance of Higher Dimensional HGPs and Weight-Reduced Quantum LDPC Codes
S. Tan, Lev Stambler·Sep 3, 2024
Quantum error correction plays a prominent role in the realization of quantum computation, and quantum low-density parity-check (qLDPC) codes are believed to be practically useful stabilizer codes. While qLDPC codes are defined to have constant weigh...
Classically estimating observables of noiseless quantum circuits
Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph +3 more·Sep 3, 2024
We present a classical algorithm based on Pauli propagation for estimating expectation values of arbitrary observables on random unstructured quantum circuits across all circuit architectures and depths, including those with all-to-all connectivity. ...
Quantum Algorithms for One-Sided Crossing Minimization
Susanna Caroppo, G. D. Lozzo, G. Battista·Sep 3, 2024
We present singly-exponential quantum algorithms for the One-Sided Crossing Minimization (OSCM) problem. Given an $n$-vertex bipartite graph $G=(U,V,E\subseteq U \times V)$, a $2$-level drawing $(\pi_U,\pi_V)$ of $G$ is described by a linear ordering...